【摘 要】
：
The “memory wall” problem or so-called yon Neumann bottleneck limits the efficiency of conven-tional computer architectures,which move data from memory to CPU for computation;these architectures cannot meet the demands of the emerging memory-intensive app
【机 构】
：
Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;Zhejiang Lab,Hang
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The “memory wall” problem or so-called yon Neumann bottleneck limits the efficiency of conven-tional computer architectures,which move data from memory to CPU for computation;these architectures cannot meet the demands of the emerging memory-intensive applications.Processing-in-memory (PIM) has been proposed as a promising solution to break the von Neumann bottleneck by minimizing data movement between memory hierarchies.This study focuses on prior art of architecture level DRAM PIM technologies and their implementation.The key challenges and mainstream solutions of PIM are summarized and intro-duced.The relative limitations of PIM simulation are discussed,as well as four conventional PIM simulators.Finally,research directions and perspectives are proposed for future development.
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